Cut-offs and finite size effects in scale-free networks
Marian Boguna, Romualdo Pastor-Satorras, Alessandro Vespignani
Abstract
We analyze the degree distribution's cut-off in finite size scale-free networks. We show that the cut-off behavior with the number of vertices N is ruled by the topological constraints induced by the connectivity structure of the network. Even in the simple case of uncorrelated networks, we obtain an expression of the structural cut-off that is smaller that the natural cut-off obtained by means of extremal theory arguments. The obtained results are explicitly applied in the case of the configuration model to recover the size scaling of tadpoles and multiple edges.
Create a lesson
Related papers
Thermodynamics of Forgetting in a Bounded Hopfield Network
Andrea Lepre
On the critical value of void percolation in high dimensions
Patrick Charbonneau, Marcus Michelen
Nonequilibrium Spin-Glass Order in a Long-Range Quantum Ising Glass and Its Sensitivity to Noise
Giuseppe D'Auria, Alessandro Silva
Cell-type-specific modularity in E/I networks shapes dynamical regimes and computational capabilities
Emmanouil Giannakakis, Victor Buendía, Oleg Vinogradov et al.
Finite-width shift of the edge of chaos in deep neural networks
Arn Caesar
Neural Networks with Exciton-Polariton Waveguides
Huawen Xu, Ruiqi Bao, Lingyu Tian et al.